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The inherent irreversibility of quantum dynamics for open systems poses a significant barrier to the inversion of unknown quantum processes. To tackle this challenge, we propose the framework of virtual combs that exploits the unknown process iteratively with additional classical postprocessing to simulate the process inverse. Notably, we demonstrate that an n-slot virtual comb can exactly reverse a depolarizing channel with one unknown noise parameter out of n+1 potential candidates, and a 1-slot virtual comb can exactly reverse an arbitrary pair of quantum channels. We further explore the approximate inversion of an unknown channel within a given channel set. A worst-case error decay of O(n^{-1}) is unveiled for depolarizing channels within a specified noise region. Moreover, we show that virtual combs can universally reverse unitary operations and investigate the trade-off between the slot number and the sampling overhead.
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http://dx.doi.org/10.1103/PhysRevLett.133.030801 | DOI Listing |
Integrated electro-optic (EO) frequency combs are pivotal components in a wide range of applications, including optical communications, spectroscopy, optical computing, precision timing, and frequency measurement. Although broadband on-chip EO combs are typically generated within resonators possessing high-quality factors, their relatively low conversion efficiency remains a significant constraint. By comparison, EO combs produced in dual rings exhibit enhanced conversion efficiencies, which generally necessitate satisfying a generalized critical coupling condition.
View Article and Find Full Text PDFEfficient learning about disease dynamics in free-ranging wildlife systems can benefit from active surveillance that is standardized across different ecological contexts. For example, active surveillance that targets specific individuals and populations with standardized sampling across ecological contexts (landscape-scale targeted surveillance) is important for developing a mechanistic understanding of disease emergence, which is the foundation for improving risk assessment of zoonotic or wildlife-livestock disease outbreaks and predicting hotspots of disease emergence. However, landscape-scale targeted surveillance systems are rare and challenging to implement.
View Article and Find Full Text PDFACS Appl Mater Interfaces
June 2025
School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510641, China.
Flexible wearable devices demonstrate immense potential in healthcare and human-computer interaction, yet the development of high-performance flexible pressure sensors for these applications remains a pressing technical challenge. Inspired by the structure of commonly used airbag combs, an airbag-like comb flexible pressure sensor (ALCS) was designed and fabricated using laser direct writing (LDW) technology. By incorporating an airbag structure to enhance the variation in contact area between the sensing and electrode layers, coupled with pore design to further boost unit strain, the ALCS achieved an ultrawide detection range (1.
View Article and Find Full Text PDFFront Neurosci
May 2025
School of Future Technology, South China University of Technology, Guangzhou, China.
With the rapid development of information technology, virtual reality (VR) technology and metaverse, which highlight personalized experience, have become hot spots in the development of information application industry. Visual, auditory, and tactile systems are the most common sensory systems used by human beings to perceive information about the external environment, facilitated by organs such as the eyes, ears, and skin, making it convenient and natural to interact with the outside world. The integration of virtual tactile feedback technology with audiovisual technology can further enhance the richness of interaction and achieve better immersion experience.
View Article and Find Full Text PDFClin Transl Radiat Oncol
September 2024
Department of Radiation Oncology, TUM School of Medicine and Health, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.